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Im working on Mercury framework to solve this problem. Notebooks can be static or dynamic. You can hide code in notebook and show only outputs. You can easily add authentication.

The framework repository at GitHu https://github.com/mljar/mercury

Im working also on cloud offering so you will upload notebooks and set domain. It is available in alpha at https://cloud.runmercury.com

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What is advantage of Mercury over Streamlit? You don't need to rewrite your code into Python script. You can serve notebook with its charts, dataframes and Markdown. If you want you can show/hide code. You can share multiple notebooks (websites). There is authentication and PDF export.

What is advantage over Viola? Mercury offers cloud service for deployment. You just upload notebook to make a website. That's it.

What is advantage over Gradio? Gradio is a framework for show casing ML models. You provide input for ML model with widgets and compute the prediction (output). Mercury can be used for show casing ML models, data science reports, dashboards and even scientific presentations (with slides recomputing after widget update)

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